AI Copilot Engineer for Enterprise AI & MLOps

JCDecaux UK Limited; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

JCDecaux UK Limited seeks an AI Engineer to design, build and operate scalable AI solutions, focusing on Copilot implementations and agentic AI to augment users and automate complex workflows.

You will translate business needs into production-grade AI assistants embedded in products and processes, building end-to-end ML pipelines and ensuring security and governance. The role offers flexibility and cross-functional collaboration across IT and business teams.

Qualifications

• Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or related field.
• Hands-on experience designing, building and deploying Copilot/agentic AI solutions.
• Strong proficiency in Python for AI/ML development and ML libraries.
• Experience integrating AI services with enterprise systems via APIs.
• Practical experience with LLMs, prompt engineering, RAG, and agent/coplots tools.

Responsibilities

• Design and implement AI copilots and agentic AI solutions to assist users and automate multi-step tasks.
• Translate business use cases into Copilot scenarios, prompts, connectors and agent behaviours.
• Build and maintain AI components (e.g., RAG, classification, recommendation, summarisation).
• Implement end-to-end MLOps pipelines, deployment and monitoring of AI solutions.
• Ensure security, privacy, compliance and ethical AI requirements across solutions.

Skills

Python for AI/ML development

LLM fundamentals

Prompt engineering

APIs and event-driven architectures

Agile delivery teams

Education

Degree in Computer Science / Data Science / Software Engineering / Mathematics

Tools

TensorFlow/PyTorch

scikit-learn

pandas / NumPy

Job description

JCDecaux UK Limited seeks an AI Engineer to design, build and operate scalable AI solutions, focusing on Copilot implementations and agentic AI to augment users and automate complex workflows.

You will translate business needs into production-grade AI assistants embedded in products and processes, building end-to-end ML pipelines and ensuring security and governance. The role offers flexibility and cross-functional collaboration across IT and business teams.